Significance of Mean Difference
Mean Difference is a statistical measure that indicates the average difference in outcomes between two groups, commonly used in research to evaluate the impact of interventions across various studies. It quantifies differences in various contexts, such as symptoms before and after treatment, anxiety levels among participants, or outcomes measured in clinical evaluations. By providing crucial insights into the effectiveness of treatments or interventions, Mean Difference serves as a key statistical tool in comparative analysis across different fields of study.
Synonyms: Disparity, Variation, Contrast, Difference, Discrepancy, Gap
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The concept of Mean Difference in scientific sources
Mean Difference denotes the average change in symptoms pre- and post-treatment, serving as a statistical measure to assess treatment effectiveness by calculating the average difference between initial and final patient scores during clinical evaluations.
From: The Malaysian Journal of Medical Sciences
(1) Mean difference is a statistical measure used to compare the results between different groups or conditions in the study, and it is analyzed over time to assess the impact of explicit information.[1] (2) This is the average difference between the values of a variable, used to assess the effect of the treatments on blood pressure.[2] (3) This is the difference between the means of two groups, and it is reported with a confidence interval in the specific statistical tests section.[3] (4) The mean differences refer to the variations observed in the average values of specific parameters after undergoing either supervised or home exercise training programs, indicating changes in the measured variables.[4] (5) This refers to the average difference in the erythrocyte sedimentation rate results obtained by the Caretium XC-A30 analyser compared to the Westergren method.[5]